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Oncocytoma, chromophobe renal cell carcinoma (chRCC), and the eosinophilic variant of clear cell RCC (ccRCC) are morphologically similar tumors with significantly different clinical courses. These renal tumor subtypes show characteristic structural genetic changes; however, the mRNA expression patterns of oncocytoma and chRCC are strikingly similar. MicroRNAs (miRNA) are small RNA molecules that regulate the expression of many genes and have been shown to be useful for tumor classification and identification. The miRNA expression was analyzed from formalin-fixed paraffin-embedded tissue in 5 cases each of oncocytoma, ccRCC, papillary RCC, chRCC, and 4 normal kidney tissues using microarrays. Affymetrix single-nucleotide polymorphism arrays were used to detect chromosomal imbalances in each of the tumors. Eighteen miRNAs were significantly different among the 4 tumor types. The microRNA miR-21, a known oncogenic miRNA, was found to be upregulated in papillary and clear cell carcinomas. Four miRNAs could differentiate oncocytomas from chRCCs and the 3 could differentiate papillary RCC from ccRCC, including miR-126, a known vasculogenic miRNA. Of the 18 differentially expressed miRNAs, only 2 correlated with copy number changes in the chromosomal region harboring these genes. One tumor, originally diagnosed as an oncocytoma by morphology, showed a virtual karyotype and miRNA expression pattern consistent with chromophobe carcinoma. Further investigation of the tumor showed vascular invasion. Our study suggests that miRNA expression can be used to differentiate the common subtypes of renal epithelial neoplasms but further validation is necessary. In addition, the lack of correlation between miRNA expression and virtual karyotype suggests a non-copy-number-related mechanism for miRNA gene expression regulation in renal neoplasia.

Background: Chromosomal imbalances are commonly seen in cancer and inherited genetic diseases. These imbalances may assist in the diagnosis, prognosis, and/or therapeutic management of certain neoplasms. Several methods for detecting chromosomal imbalances, such as, fluorescent in situ hybridization, array comparative genomic hybridization, and single nucleotide polymorphism (SNP) arrays have proven useful in formalin-fixed paraffin-embedded (FFPE) tissues. Here, we report the performance and reproducibility of virtual karyotyping of FFPE tissues with Affymetrix SNP arrays., Methods: Virtual karyotypes from 442 FFPE tumor samples were generated using the Affymetrix GeneChip Mapping 10K Xba 2.0 and/or 250K Nsp SNP mapping arrays. Samples ranged from a few weeks to 17 years in archival storage. Virtual karyotypes were assessed for copy number changes, loss of heterozygosity, and acquired uniparental disomy., Results: Overall, 75.3% of samples produced interpretable virtual karyotypes with the 10K arrays and 76.7% in the 250K arrays. Parameters for the selection of samples for hybridization were determined, which increased the success rate in both platforms to 81.3 and 92.6%, respectively. FFPE virtual karyotypes generated with both 10K Xba 2.0 and 250K Nsp arrays showed 100% concordance in intralaboratory and interlaboratory reproducibility studies. Samples older than 7 years showed decreased performance., Conclusions: SNP arrays are a reliable, reproducible, and robust platform for the virtual karyotyping of FFPE tumor tissues with performance characteristics adequate for clinical application. Parameters that most significantly affected sample performance were sample age and storage conditions.

The use of chromosomal copy number changes as markers for tumor behavior or as prognostic markers for patient outcome has been suggested. However, current clinically used technologies cannot perform genome-wide assessment of chromosome copy number and analysis of loss of heterozygosity in the same assay for paraffin-embedded tissue. We have optimized the Affymetrix GeneChip Mapping Assay for the 10K 2.0 array for use with formalin-fixed, paraffin-embedded (FFPE) tissues. This technology uses single nucleotide polymorphism (SNP) arrays to assess the changes in chromosomal copy number and loss of heterozygosity. DNA from 3 paired tumor/normal samples of adrenal tumors and 4 samples of renal tumors were processed with modifications to the manufacturer's protocol. Modifications at different steps were evaluated for their effects on SNP signal-detection and call rates. Frozen samples showed 99.6%+/-0.3% signal-detection rates and 94.7%+/-3.0% SNP call rates. FFPE samples labeled with the original protocol failed to produce enough polymerase chain reaction products for hybridization, whereas the same samples processed with the optimized protocol had signal-detection rates of 97.4%+/-0.018% and SNP call rates of 90.9%+/-0.034%. The average SNP call concordance between fresh and matching FFPE samples was 96%. Chromosomal aberrations detected in the frozen tumors were also detected in the FFPE tissues. Our optimized protocol significantly improves the performance of the FFPE samples in the Affymetrix GeneMapping Assay with the 10K 2.0 SNP array. This optimized protocol opens up the potential for the GeneChip Mapping assay to be used in the development of clinical test assays.